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07/07/2023
Subjective Crowd Disagreements for Subjective Data: Uncovering Meaningful CrowdOpinion with Population-level Learning
Human-annotated data plays a critical role in the fairness of AI systems...
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01/29/2023
Vicarious Offense and Noise Audit of Offensive Speech Classifiers
This paper examines social web content moderation from two key perspecti...
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09/08/2021
Cross-lingual Offensive Language Identification for Low Resource Languages: The Case of Marathi
The widespread presence of offensive language on social media motivated ...
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06/20/2021
Improving Label Quality by Jointly Modeling Items and Annotators
We propose a fully Bayesian framework for learning ground truth labels f...
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05/18/2021
LCP-RIT at SemEval-2021 Task 1: Exploring Linguistic Features for Lexical Complexity Prediction
This paper describes team LCP-RIT's submission to the SemEval-2021 Task ...
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03/31/2021
Domain-specific MT for Low-resource Languages: The case of Bambara-French
Translating to and from low-resource languages is a challenge for machin...
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03/31/2020
Assessing Human Translations from French to Bambara for Machine Learning: a Pilot Study
We present novel methods for assessing the quality of human-translated a...
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03/16/2020
Neighborhood-based Pooling for Population-level Label Distribution Learning
Supervised machine learning often requires human-annotated data. While a...
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01/30/2019
